Jul 12, 2017 · We develop a new computational method (named PEP) to predict enhancer–promoter interactions based on sequence-based features only.
Exploiting sequence-based features for predicting enhancer-promoter ...
pubmed.ncbi.nlm.nih.gov › ...
Jul 15, 2017 · We develop a new computational method (named PEP) to predict enhancer-promoter interactions based on sequence-based features only.
Here, we develop a new computational method (named PEP) to predict enhancer–promoter interactions based on sequence-based features only, when the locations of ...
This work demonstrates that sequence‐based features alone can reliably predict enhancer‐promoter interactions genome‐wide, which could potentially ...
Among six different cell lines, our method effectively predicts the enhancer-promoter interactions (EPIs) and achieves better performance in F1-score and AUC ...
Motivation: A large number of distal enhancers and proximal promoters form enhancer-promoter interactions to regulate target genes in the.
Jul 12, 2017 · Our work demonstrates that sequence-based features alone can reliably predict enhancer–promoter interactions genome-wide, which could ...
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In this paper, we develop an integrated EPIs prediction method, called EpPredictor with improved performance.
Jun 4, 2019 · Here we report a new computational method (named “SPEID”) using deep learning models to predict enhancer-promoter interactions based on sequence-based features ...
Here we report a new computational method (named “SPEID”) using deep learning models to predict enhancer-promoter interactions based on sequence-based features ...